| { | |
| "best_metric": 0.3010457754135132, | |
| "best_model_checkpoint": "outputs/electra-nli-efl-tweeteval/checkpoint-1304", | |
| "epoch": 7.997323135755258, | |
| "global_step": 1304, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 9e-07, | |
| "loss": 0.439, | |
| "step": 163 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.745697074010327, | |
| "eval_f1": 0.732240056847258, | |
| "eval_loss": 0.3982622027397156, | |
| "eval_runtime": 8.9237, | |
| "eval_samples_per_second": 260.431, | |
| "eval_steps_per_second": 32.61, | |
| "step": 163 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 8e-07, | |
| "loss": 0.3465, | |
| "step": 326 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7620481927710844, | |
| "eval_f1": 0.750740067157349, | |
| "eval_loss": 0.3448249399662018, | |
| "eval_runtime": 9.0059, | |
| "eval_samples_per_second": 258.053, | |
| "eval_steps_per_second": 32.312, | |
| "step": 326 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 7e-07, | |
| "loss": 0.3089, | |
| "step": 489 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7693631669535284, | |
| "eval_f1": 0.7633651185887134, | |
| "eval_loss": 0.3303545117378235, | |
| "eval_runtime": 9.3737, | |
| "eval_samples_per_second": 247.927, | |
| "eval_steps_per_second": 31.044, | |
| "step": 489 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 6e-07, | |
| "loss": 0.2916, | |
| "step": 652 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.7839931153184165, | |
| "eval_f1": 0.7736843738845695, | |
| "eval_loss": 0.30892524123191833, | |
| "eval_runtime": 9.0737, | |
| "eval_samples_per_second": 256.125, | |
| "eval_steps_per_second": 32.071, | |
| "step": 652 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 5e-07, | |
| "loss": 0.2826, | |
| "step": 815 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.7839931153184165, | |
| "eval_f1": 0.7744514636272033, | |
| "eval_loss": 0.3055116832256317, | |
| "eval_runtime": 9.1262, | |
| "eval_samples_per_second": 254.651, | |
| "eval_steps_per_second": 31.886, | |
| "step": 815 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 4e-07, | |
| "loss": 0.2747, | |
| "step": 978 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.7857142857142857, | |
| "eval_f1": 0.7771340101366444, | |
| "eval_loss": 0.30407363176345825, | |
| "eval_runtime": 9.1656, | |
| "eval_samples_per_second": 253.557, | |
| "eval_steps_per_second": 31.749, | |
| "step": 978 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 3e-07, | |
| "loss": 0.2678, | |
| "step": 1141 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.7865748709122203, | |
| "eval_f1": 0.7768983029852594, | |
| "eval_loss": 0.3031200170516968, | |
| "eval_runtime": 9.6529, | |
| "eval_samples_per_second": 240.756, | |
| "eval_steps_per_second": 30.146, | |
| "step": 1141 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 2e-07, | |
| "loss": 0.2641, | |
| "step": 1304 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7874354561101549, | |
| "eval_f1": 0.7772050769924619, | |
| "eval_loss": 0.3010457754135132, | |
| "eval_runtime": 9.1465, | |
| "eval_samples_per_second": 254.087, | |
| "eval_steps_per_second": 31.816, | |
| "step": 1304 | |
| } | |
| ], | |
| "max_steps": 1630, | |
| "num_train_epochs": 10, | |
| "total_flos": 2.435546776948819e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |